Hybrid CNN Architecture for Hot Spot Detection in Photovoltaic Panels Using Fast R-CNN and GoogleNet

Due to the continuous increase in global energy demand, photovoltaic solar energy generation and associated maintenance requirements have significantly expanded. One critical maintenance challenge in photovoltaic installation... | Find, read and cite all the research you need on Tech Science Press

Authors

Fausto Pedro Garcı́a Márquez (ORCID: https://orcid.org/0000-0002-9245-440X)
Carlos Quiterio Gómez Muñoz (ORCID: https://orcid.org/0000-0002-3506-5993)
Jorge Bernabé Sanjuán

Publication Details

Journal: Computer Modeling in Engineering & Sciences
Published: 2025-01-01
DOI: https://doi.org/10.32604/cmes.2025.069225
Citations: 1
Primary Topic: Industrial Vision Systems and Defect Detection
Type: article
Field-Weighted Citation Impact: 1.24

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article

Hybrid CNN Architecture for Hot Spot Detection in Photovoltaic Panels Using Fast R-CNN and GoogleNet

Fausto Pedro Garcı́a Márquez, Carlos Quiterio Gómez Muñoz, Jorge Bernabé Sanjuán

Jan 1, 2025

1 citations

Computer Modeling in Engineering & Sciences

Industrial Vision Systems and Defect Detection

1.24

article

Hybrid CNN Architecture for Hot Spot Detection in Photovoltaic Panels Using Fast R-CNN and GoogleNet

Fausto Pedro Garcı́a Márquez, Carlos Quiterio Gómez Muñoz, Jorge Bernabé Sanjuán

January 1, 2025article en

1 citations

Abstract

Computer Modeling in Engineering & SciencesVol. 144(3)

Openalex Percentile: Top 15%

Industrial Vision Systems and Defect Detection

1.24

DOI Open Access PDF OpenAlex

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Hybrid CNN Architecture for Hot Spot Detection in Photovoltaic Panels Using Fast R-CNN and GoogleNet — Fausto Pedro Garcı́a Márquez, Carlos Quiterio Gómez Muñoz, et al. · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS